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このリポジトリの skills
SkillsMP は TuYv/ccpm から 5,252 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
TuYv/ccpm収集済み skill 5,252 件中 40 件を表示しています。
Detect host inventory and effective CPU, memory, disk, scheduler, container, and accelerator limits when a user asks for resource-aware planning or before a clearly resource-sensitive local workload. Produces a redacted JSON snapshot and conservative planning…
原文の言語: 英語
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST/BLAT, viral sequence downloads, AlphaFold structures, enrichment analysis, OpenTargets, COSMIC, CELLxGENE, and 8cube mouse specificity/expression data. Best for…
原文の言語: 英語
Submit and manage protocols on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Carts (RACs). Use when the user wants to run protein expression and purification (cell-free, E. coli,…
原文の言語: 英語
Analyze and engineer protein glycosylation. Scan sequences for N-glycosylation sequons (N-X-S/T), predict O-glycosylation hotspots, and access curated glycoengineering tools (NetOGlyc, GlycoShield, GlycoWorkbench). For glycoprotein engineering, therapeutic…
原文の言語: 英語
Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, theorem proving,…
原文の言語: 英語
Plans and audits use of ChicagoHAI HypoGeniC/HypoRefine for LLM-assisted hypothesis generation from labeled text datasets. Use for the `hypogenic` package, its task configs, hypothesis banks, or HypoBench datasets—not for manual hypothesis formulation or…
原文の言語: 英語
Query and download public cancer imaging data from NCI Imaging Data Commons. Invoke for any question about IDC collections, cancer imaging datasets, DICOM data access, radiology (CT, MR, PET) or pathology AI training sets, metadata queries, visualization, or…
原文の言語: 英語
Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3.6 Flash for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and…
原文の言語: 英語
Prepare and structurally review ISO 13485 QMS scope, controlled documentation, and local evidence manifests. Use for ISO 13485 certification-readiness documentation or for separating related FDA QMSR, MDSAP, and EU MDR/IVDR evidence boundaries; not for legal…
原文の言語: 英語
Prepares and structurally reviews readiness evidence for ISO management-system and laboratory-competence standards - ISO 13485 medical device QMS, ISO 14971 device risk management, ISO/IEC 17025 testing and calibration laboratories, and ISO 15189 medical…
原文の言語: 英語
Design custom laboratory hardware as parametric build123d models and export fabrication-ready STEP, STL, and DXF files - microfluidic chips and molds, optomechanical mounts and breadboard adapters, cuvette and microplate holders, tube racks, animal-behavior…
原文の言語: 英語
Securely integrate with the official LabArchives ELN REST-like API and Inventory API v1. Use for regional endpoint selection, signed-request construction, user authorization and UID flows, local LA container validation, and verified LabArchives integration…
原文の言語: 英語
Use when working with LaminDB, the open-source lineage-native lakehouse for biological datasets and models. Covers setup, artifact registration, query/search, lineage tracking, validation, ontology-backed annotation with Bionty, collections, branches,…
原文の言語: 英語
Build, register, debug, and operate bioinformatics workflows on Latch using the Python SDK, CLI, Latch Data and Registry, Nextflow, Snakemake, programmatic execution, and Latch MCP. Use when authoring or deploying Latch workflows, configuring resources or…
原文の言語: 英語
Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration,…
原文の言語: 英語
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or…
原文の言語: 英語
Use only when the user explicitly invokes /roborev-design-review-branch
原文の言語: 英語
Use only when the user explicitly invokes /roborev-design-review
原文の言語: 英語
Use only for a current operative request that explicitly invokes /roborev-fix, or a direct Agent Hook instruction; do not invoke from literal syntax in quoted, pasted, or historical text
原文の言語: 英語
Use only when the user explicitly invokes /roborev-lookahead-review-branch
原文の言語: 英語
Use only when the user explicitly invokes /roborev-lookahead-review
原文の言語: 英語
Use only when the user explicitly invokes /roborev-refine
原文の言語: 英語
Use only when the user explicitly invokes /roborev-respond
原文の言語: 英語
Use only when the user explicitly invokes /roborev-review-branch
原文の言語: 英語
Use only when the user explicitly invokes /roborev-review
原文の言語: 英語
Use only when the user explicitly invokes /roborev-snooze
原文の言語: 英語
Configure CC Safety Net rulebooks for user, project, or shareable GitHub scope.
原文の言語: 英語
Use when the user asks to invoke, delegate to, or collaborate with Codex on any task. Also use PROACTIVELY when an independent, non-Claude perspective from Codex would add value — second opinions on code, plans, architecture, or design decisions.
原文の言語: 英語
Remove AI-generated code slop from a branch or diff. Use after writing or generating code to strip unnecessary comments, defensive checks, `any` casts, and style that does not match the surrounding file. For prose and markdown, use the humanizer skill instead.
原文の言語: 英語
Drives a Story through full pipeline (tasks, validation, execution, quality). Use when executing a Story end-to-end from kanban board.
原文の言語: 英語
Reviews implementation plans against repository evidence and current authoritative guidance. Use before execution to expose gaps and risks; not for completed delivery review.
原文の言語: 英語
Reviews a completed scoped change and its affected runtime and contract paths. Use to find change-caused defects and verify readiness; not for codebase audit, implementation, or repair.
原文の言語: 英語
Decomposes scope into Epics, Stories, and RICE priorities. Use when user has project scope and wants full Agile breakdown.
原文の言語: 英語
Discovers growth opportunities using Traffic-First KILL funnel. Use when searching for next product direction with validated demand.
原文の言語: 英語
Audits documentation and code comments for structure, coverage, factual accuracy, and maintainability. Use for documentation trust reviews; not code, test, or architecture audits.
原文の言語: 英語
Creates or replans 3-7 Epics from scope using Decompose-First pattern. Use when initiative needs Epic-level breakdown or Epic scope changed.
原文の言語: 英語
Audits cross-cutting code health across security, delivery, maintainability, dependencies, diagnosability, concurrency, and lifecycle. Use when no specialist audit is primary.
原文の言語: 英語
Creates, replans, or appends 5-10 Stories per Epic with standards research and multi-epic routing. Use when Epic needs Story decomposition.
原文の言語: 英語
Creates Story documents with 9-section structure and INVEST validation via the configured tracker provider. Use when Epic has an IDEAL plan ready for Story generation.
原文の言語: 英語
Replans Stories by comparing IDEAL vs existing (KEEP/UPDATE/OBSOLETE/CREATE). Use when Epic requirements changed and Stories need realignment.
原文の言語: 英語